The Research on Certification and Regulation of Multi-Brand Central Air Conditioning Driven by a Hybrid Mathematical Model

With the increasing demand for energy conservation and the growing complexity of multi-brand central air conditioning systems, it is crucial to develop effective methods for their certification and regulation. This paper presents a hybrid mathematical model-driven approach that combines genetic algorithms and least squares methods for parameter identification and control optimization of multi-brand central air conditioning systems. The model is further supported by a pre-calculated expert table to enhance real-time system control. The research results demonstrate significant improvements in energy efficiency and cost reduction, while ensuring compliance with certification standards.